Adaptive event-triggered finite-time H control for fuzzy semi-Markovian jump systems with immeasurable premise variables

Journal of the Franklin Institute - Tập 359 - Trang 6607-6631 - 2022
Xin Li1, Xiaowu Mu1
1School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China

Tài liệu tham khảo

Yue, 2005, Network-based robust H∞ control of systems with uncertainty, Automatica, 41, 999, 10.1016/j.automatica.2004.12.011 Zhang, 2017, Analysis and synthesis of networked control systems: a survey of recent advances and challenges results, ISA Trans., 66, 376, 10.1016/j.isatra.2016.09.026 Takagi, 1985, Fuzzy identification of systems and its application to modeling and control, IEEE Trans. Syst. Man, Cybern., 15, 116, 10.1109/TSMC.1985.6313399 Jiang, 2010, H∞ filter design for a class of networked control systems via t-s fuzzy-model approach, IEEE Trans. Fuzzy Syst., 18, 201, 10.1109/TFUZZ.2009.2037009 Qiu, 2016, Recent advances on fuzzy-model-based nonlinear network control systems: a survey, IEEE Trans. Ind. Electron., 63, 1207, 10.1109/TIE.2015.2504351 Peng, 2018, A survey on recent advances in event-triggered communication and control, Inf. Sci., 457-458, 113, 10.1016/j.ins.2018.04.055 Zhang, 2019, Network-based fuzzy control for nonlinear Markov jump systems subject to quantization and dropout compensation, Fuzzy Sets Syst., 371, 96, 10.1016/j.fss.2018.09.007 Tabuada, 2007, Event-triggered real-time scheduling of stabilizing control tasks, IEEE Trans. Autom. Control, 52, 1680, 10.1109/TAC.2007.904277 Yue, 2013, A delay system method for designing event-triggered controllers of networked control systems, IEEE Trans. Autom. Control, 58, 475, 10.1109/TAC.2012.2206694 Shi, 2016, Networked-based event-triggered control for singular systems with quantization, IEEE Trans. Ind. Electron., 63, 1230, 10.1109/TIE.2015.2475515 Peng, 2017, Observer-based non-PDC control for networked T-S fuzzy systems with an event-triggered communication, IEEE Trans. Cybern., 47, 2279, 10.1109/TCYB.2017.2659698 Li, 2021, Adaptive disturbance observer-based event-triggered fuzzy control for nonlinear system, Inf. Sci., 575, 485, 10.1016/j.ins.2021.06.055 Peng, 2017, Networked-based H∞ control for T-S fuzzy systems with an adaptive event-triggered communication scheme, Fuzzy Sets Syst., 329, 61, 10.1016/j.fss.2016.12.011 Gu, 2018, On designing of an adaptive event-triggered communication scheme for nonlinear networked interconnected control systems, Inf. Sci., 422, 257, 10.1016/j.ins.2017.09.005 Dong, 2013, Distributed H∞ filtering for a class of Markovian jump nonlinear time-delay systems over lossy sensor networks, IEEE Trans. Ind. Electron., 60, 4665, 10.1109/TIE.2012.2213553 Li, 2016, Observer-based adaptive sliding mode control for nonlinear Markovian jump systems, Automatica, 64, 133, 10.1016/j.automatica.2015.11.007 Schwartz, 2003 Huang, 2013, Stochastic Stability and robust stabilization of semi-Markov jump linear systems, Int. J. Robust Nonlinear Control, 23, 2028, 10.1002/rnc.2862 Mu, 2020, Stability analysis for semi-Markovian switched singular stochastic systems, Automatica, 118, 119014, 10.1016/j.automatica.2020.109014 Wei, 2017, Sliding mode control for semi-Markovian jump systems via output feedback, Automatica, 81, 133, 10.1016/j.automatica.2017.03.032 Tian, 2020, Dynamic output-feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernel, Automatica, 117, 108997, 10.1016/j.automatica.2020.108997 Tian, 2021, Resilient static output feedback control of linear semi-Markov jump systems with incomplete semi-Markov kernel, IEEE Trans. Autom. Control, 66, 4274, 10.1109/TAC.2020.3034199 Li, 2020, Asynchronous control strategy for semi-Markov switched system and its application, Inf. Sci., 532, 125, 10.1016/j.ins.2020.04.004 Y.X. Tian, H.C. Yan, H. Zhang, J. Cheng, H. Shen, Asynchronous output feedback control of hidden semi-Markov jump systems with random mode-dependent delays, IEEE Trans. Autom. Control (2021), doi:10.1109/TAC.2021.3110006. Zong, 2021, Advances on modeling and control of semi-Markovian switching systems: a survey, J. Frank. Inst., 10.1016/j.jfranklin.2021.07.056 Wang, 2015, Event-triggered control for networked Markovian jump systems, Int. J. Robust Nonlinear Control, 25, 3422, 10.1002/rnc.3273 Zeng, 2021, Event-triggered H∞ control for network-based uncertain Markov jump systems under dos attacks, J. Frankl. Inst., 358, 2895, 10.1016/j.jfranklin.2021.01.026 Dai, 2018, Event-triggered leader-following consensus for multi-agent systems with semi-Markov switching topologies, Inf. Sci., 459, 290, 10.1016/j.ins.2018.04.054 Wu, 2019, Event-triggered control for networked nonlinear semi-Markovian jump systems with randomly occurring uncertainties and transmission delay, Inf. Sci., 487, 84, 10.1016/j.ins.2019.03.014 Shen, 2020, Reliable event-triggered asynchronous extended passive control for semi-Markov jump fuzzy systems and its application, IEEE Trans. Fuzzy Syst., 28, 1708 Zhang, 2009, Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities, Automatica, 45, 463, 10.1016/j.automatica.2008.08.010 Jiang, 2020, Takagi-Sugeno model based event-triggered fuzzy sliding-mode control of networked control systems with semi-Markovian switchings, IEEE Trans. Fuzzy Syst., 28, 673, 10.1109/TFUZZ.2019.2914005 B.P. Jiang, Z.T. Wu, C.C. Gao, Adaptive sliding mode observer design for semi-Markovian jump systems through dynamic event-triggered mechanism, J. Frankl. Inst. (2021), doi:10.1016/j.jfranklin.2021.05.008. Dorato, 1961, Short time stability in linear time-varying systems, Proc. IRE Int. Conv. Rec., 83 Amato, 2001, Finite-time control of linear systems subject to parametric uncertainties and disturbances, Automatica, 37, 1459, 10.1016/S0005-1098(01)00087-5 Zhang, 2012, Robust finite-time H∞ control of singular stochastic systems via static output feedback, Appl. Math. Comput., 218, 5629, 10.1016/j.amc.2011.11.057 Shen, 2018, Finite-time event-triggered H∞ control for T-S fuzzy Markov jump systems, IEEE Trans. Fuzzy Syst., 26, 3122, 10.1109/TFUZZ.2017.2788891 Wu, 2019, Finite-time H∞ filtering for ItO stochastic Markovian jump systems with distributed time-varying delays based on optimisation algorithm, IET Control Theory Appl., 13, 702, 10.1049/iet-cta.2018.6119 Mu, 2021, Reliable observer-based finite-time H∞ control for networked nonlinear semi-Markovian jump systems with actuator fault and parameter uncertainties via dynamic event-triggered scheme, Inf. Sci., 546, 573, 10.1016/j.ins.2020.08.098 Xia, 2019, Observer-based mixed passive and H∞ control for uncertain Markovian jump systems with time delays using quantized measurements, Nonlinear Anal. Hybrid Syst., 31, 233, 10.1016/j.nahs.2018.09.003 Li, 2018, Observer-based fuzzy integral sliding mode control for nonlinear descriptor systems, IEEE Trans. Fuzzy Syst., 26, 2818, 10.1109/TFUZZ.2018.2802458 Zhuang, 2021, Asynchronous feedback control for delayed fuzzy degenerate jump systems under observer-based event-driven characteristic, IEEE Trans. Fuzzy Syst., 29, 3754, 10.1109/TFUZZ.2020.3027336 Yoneyama, 2009, H∞ filtering for fuzzy systems with immeasurable premise variables: an uncertain system approach, Fuzzy Sets Syst., 160, 1738, 10.1016/j.fss.2008.09.012 Nagamani, 2020, Event-triggered observer-based sliding mode control for t-s fuzzy systems via improved relaxed-based integral inequality, J. Frankl. Inst., 357, 9543, 10.1016/j.jfranklin.2020.07.025 Zhang, 2016, Robust and non-fragile finite-time H∞ control for uncertain Markovian jump nonlinear systems, Appl. Math. Comput., 279, 125, 10.1016/j.amc.2016.01.012 Xiong, 2009, Stabilization of networked control systems with a logic ZOH, IEEE Trans. Autom. Control, 54, 358, 10.1109/TAC.2008.2008319 Shen, 2017, Reliable mixed H∞/passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach, Fuzzy Sets Syst., 314, 79, 10.1016/j.fss.2016.09.007